Diagnostic methods and systems
AssigneeGM Global Technology Operations LLC
InventorsJin Shen, Jeffrey M. Hutmacher, Patricia M. Laskowsky, Dana J. Suttman, Iman Mohammadrezazadeh, Ruggero Scorcioni, Vincent DeSapio
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Abstract
Methods and systems are provided for monitoring a fuel injector of an internal combustion engine. In one embodiment, a method includes: receiving a set of feature data, the feature data sensed from a fuel injector during a fuel injection event; processing, by a processor, the set of feature data with a decision tree model to generate a prediction of a fault status; and selectively generating, by the processor, a notification signal based on the prediction.
Claims18
A method of monitoring a fuel injector during operation of an internal combustion engine, comprising:
- receiving a set of feature data, the feature data sensed from a fuel injector during a fuel injection event, wherein the set of feature data includes a first closing time, a first opening magnitude, a first opening magnitude location, a second opening magnitude, a second opening magnitude delta, a location inside a window where the second opening magnitude was detected, and a raw voltage at an early point in the window;
- processing, by a processor, the set of feature data with a decision tree model to generate a prediction of a fault status, wherein the decision tree model includes an initial node, two or more sub-nodes, and two or more leaf or end nodes, wherein each node has an associated rule that compares feature data to a threshold;
- and
- selectively generating, by the processor, a notification signal that activates a notification device based on the prediction.
A system for monitoring a fuel injector of an internal combustion engine, comprising:
- at least one sensor that generates sensor data based on observable conditions of the fuel injector, wherein the sensor data comprises a first closing time, a first opening magnitude, a first opening magnitude location, a second opening magnitude, a second opening magnitude delta, a location inside a window where the second opening magnitude was detected, and a raw voltage at an early point in the window;
- and
- a controller configured to, by a processor, receive the sensor data, process the sensor data with a decision tree model to generate a prediction of a fault status, and selectively generate a notification signal to activate a notification device based on the prediction, wherein the decision tree model includes an initial node, two or more sub-nodes, and two or more leaf or end nodes, wherein each node has an associated rule that compares sensor data to a threshold.
Dependencies are inferred from the claim text.